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Matplotlib is an open-source plotting library for Python that allows you to create static, animated, and interactive visualizations. It is highly versatile and can be used for various applications, from simple plots to complex dashboards. Why Use Matplotlib?
- Introduction to pyplot# matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc.
- Plotting with keyword strings# There are some instances where you have data in a format that lets you access particular variables with strings. For example, with structured arrays or pandas.DataFrame.
- Plotting with categorical variables# It is also possible to create a plot using categorical variables. Matplotlib allows you to pass categorical variables directly to many plotting functions.
- Controlling line properties# Lines have many attributes that you can set: linewidth, dash style, antialiased, etc; see matplotlib.lines.Line2D. There are several ways to set line properties.
- How to Plot A Function in Python Using Matplotlib
- How to Plot A Function Using Seaborn
- Conclusion
In order to plot a function in Python using Matplotlib, we need to define a range of x and y values that correspond to that function. In order to do this, we need to: 1. Define our function, and 2. Create a range of continuous x-values and map their corresponding y-values Let’s see how we can accomplish this. First, we’ll need to import our librari...
In this section, you’ll learn how to use Seaborn to plot two functions. Since this process is very similar to using just Matplotlib, I won’t cover every detail, but rather explain what is different from our Matplotlib implementation. Take a look at the code block below: Let’s break down what we did in the code block above: 1. We imported Seaborn an...
In conclusion, plotting a function using Python’s Matplotlib and Seaborn libraries can be a powerful way to visualize data and gain insights into relationships between variables. By using NumPy’s linspace function, we can easily create x and y values to represent the function. With Matplotlib, we can plot the function, add a title and legend, and c...
Using one-liners to generate basic plots in matplotlib is fairly simple, but skillfully commanding the remaining 98% of the library can be daunting. This article is a beginner-to-intermediate-level walkthrough on matplotlib that mixes theory with examples.
Matplotlib Tutorial – A Complete Guide to Python Plot with Examples. Until next time. The goal of this tutorial is to make you understand ‘how plotting with matplotlib works’ and make you comfortable to build full-featured plots with matplotlib. 2. A Basic Scatterplot.
- Selva Prabhakaran
May 8, 2024 · Matplotlib is a robust plotting library in Python that enables the creation of a wide variety of graphs, charts, and other static, interactive, and animated visualizations.
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The plot() function is used to draw points (markers) in a diagram. By default, the plot() function draws a line from point to point. The function takes parameters for specifying points in the diagram. Parameter 1 is an array containing the points on the x-axis.
